fix ScheduleNode and fill parser

mindspore/lite/src/scheduler.cc

@@ -231,7 +231,7 @@ kernel::LiteKernel *Scheduler::ScheduleNode(const std::vector<tensor::Tensor *>
                                             const std::vector<tensor::Tensor *> &out_tensors,
                                             const mindspore::lite::PrimitiveC *primitive, const schema::CNode *cnode) {
   MS_ASSERT(nullptr != primitive);
-  auto data_type = in_tensors.front()->data_type();
+  TypeId data_type = GetFirstFp32Fp16OrInt8Type(in_tensors);
   kernel::KernelKey desc{kernel::KERNEL_ARCH::kCPU, data_type, static_cast<schema::PrimitiveType>(primitive->Type())};
   if (context_->device_ctx_.type == DT_GPU) {
     desc.arch = kernel::KERNEL_ARCH::kGPU;
@@ -271,6 +271,16 @@ kernel::LiteKernel *Scheduler::ScheduleNode(const std::vector<tensor::Tensor *>
   return nullptr;
 }
 
+TypeId Scheduler::GetFirstFp32Fp16OrInt8Type(const std::vector<tensor::Tensor *> &in_tensors) {
+  for (const auto &tensor : in_tensors) {
+    auto dtype = tensor->data_type();
+    if (dtype == kNumberTypeFloat32 || dtype == kNumberTypeFloat16 || dtype == kNumberTypeInt8) {
+      return dtype;
+    }
+  }
+  return kNumberTypeFloat32;
+}
+
 void Scheduler::SetKernelTensorDataType(kernel::LiteKernel *kernel) {
   if (kernel->desc().arch != kernel::KERNEL_ARCH::kCPU) {
     return;

mindspore/lite/src/scheduler.h

@@ -47,6 +47,7 @@ class Scheduler {
   void ConstructSubgraphs(std::vector<kernel::LiteKernel *> *kernels);
 
   kernel::LiteKernel *CreateSubKernel(const std::vector<kernel::LiteKernel *> &kernels, kernel::KERNEL_ARCH arch);
+  TypeId GetFirstFp32Fp16OrInt8Type(const std::vector<tensor::Tensor *> &in_tensors);
   void SetKernelTensorDataType(kernel::LiteKernel *kernel);
 
  protected: